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https://issues.apache.org/jira/browse/AIRFLOW-6440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17098794#comment-17098794
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ASF GitHub Bot commented on AIRFLOW-6440:
-----------------------------------------

feluelle commented on pull request #7030:
URL: https://github.com/apache/airflow/pull/7030#issuecomment-623350479


   > For now, I'll make this Executor an optional plugin for Airflow. Thank you 
all for contributing and your suggestions.
   
   Do I understand it correctly that you want to publish it in your repo rather 
than apache/airflow? Then we can close this PR, correct? Just want to be sure 
so that the stale bot does not close it if you still want to work on it here :)


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> AWS Fargate Executor (AIP-29) (WIP)
> -----------------------------------
>
>                 Key: AIRFLOW-6440
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-6440
>             Project: Apache Airflow
>          Issue Type: Improvement
>          Components: aws, executors
>    Affects Versions: 1.10.8
>         Environment: AWS Cloud
>            Reporter: Ahmed Elzeiny
>            Assignee: Ahmed Elzeiny
>            Priority: Minor
>              Labels: AWS, Executor, autoscaling
>   Original Estimate: 336h
>  Remaining Estimate: 336h
>
> h1. Links
> AIP - 
> [https://cwiki.apache.org/confluence/display/AIRFLOW/AIP-29%3A+AWS+Fargate+Executor]
> PR - [https://github.com/apache/airflow/pull/7030]
> h1. Airflow on AWS Fargate
> {color:#707070}We propose the creation of a new Airflow Executor, called the 
> FargateExecutor, that runs tasks asynchronously on AWS Fargate. The Airflow 
> Scheduler comes up with a command that needs to be executed in some shell. A 
> Docker container parameterized with the command is passed in as an ARG, and 
> AWS Fargate provisions a new instance with . The container then completes or 
> fails the job, causing the container to die along with the Fargate instance. 
> The executor is responsible for keeping track what happened to the task with 
> an airflow task id and AWS ARN number, and based off of the instance exit 
> code we either say that the task succeeded or failed.{color}
> h1. Proposed Implementation
> As you could probably deduce, the underlying mechanism to launch, track, and 
> stop Fargate instances is AWS' Boto3 Library.
> To accomplish this we create a FargateExecutor under the "airflow.executors" 
> module. This class will extend from BaseExecutor and override 5 methods: 
> {{start()}}, {{{color:#3366ff}sync(){color}}},{{{color:#3366ff} 
> execute_async(){color}}}, {{{color:#3366ff}end(){color}}}, and 
> {{{color:#3366ff}terminate(){color}}}. Internally, the FargateExecutor uses 
> boto3 for monitoring and deployment purposes.
> {color:#707070}The three major Boto3 API calls are:{color}
>  * {color:#707070}The {color:#0747a6}{{execute_async()}}{color} function 
> calls boto3's {{{color:#0747a6}run_task(){color}}} function.{color}
>  * {color:#707070}The {{{color:#0747a6}sync(){color}}} function calls boto3's 
> {{{color:#0747a6}describe_tasks(){color}}} function.{color}
>  * {color:#707070}The {{{color:#0747a6}terminate(){color}}} function calls 
> boto3's {{{color:#0747a6}stop_task(){color}}} function.{color}
> h1. Maintenance
> The executor itself is nothing special since it mostly relies on overriding 
> the proper methods from .
> In general, AWS is fairly committed to keeping their APIs in service. Fargate 
> is rather new and I've personally perceived a lot more features added as 
> optional parameters over the course of the past year. However, the required 
> parameters for the three Boto3 calls that are used have remained the same. 
> I've also written test-cases that ensures that the Boto3 calls made are 
> complaint to the most current version of their APIs.
> We've also introduced a callback hook (very similar to the Celery Executor) 
> that allows users to launch tasks with their own parameters. Therefore if a 
> user doesn't like the default parameter options used in Boto3's 
> \{{run_task(),}}then they can call it themselves with whatever parameters 
> they want. This means that Airflow doesn't have to add a new configuration 
> everytime AWS makes an addition to AWS Fargate. It's just one configuration 
> to cover them all.
> h1. {color:#707070}Proposed Configuration{color}
>  
> {code:java}
> [fargate]
> # For more information on any of these execution parameters, see the link 
> below:
> # 
> https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/ecs.html#ECS.Client.run_task
> # For boto3 credential management, see
> # 
> https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html
> ### MANDATORY CONFIGS:
> # Name of region
> region = us-west-2
> # Name of cluster
> cluster = test-airflow
> ### EITHER POPULATE THESE:
> # Name of task definition with a bootable-container. Note that this container 
> will receive an airflow CLI
> # command as an additional parameter to its entrypoint. It's job is to 
> boot-up and run this command
> task_definition = test-airflow-worker
> # name of registered container within your AWS cluster
> container_name = airflow-worker
> # security group ids for task to run in (comma-separated)
> security_groups = sg-xxxxxxxxxxxxxx
> # Subnets for task to run in.
> subnets = subnet-yyyyyyyyyy,subnet-zzzzzzzzz
> # FARGATE platform version. Defaults to Latest.
> platform_version = LATEST
> # Launch type can either be 'FARGATE' OR 'ECS'. Defaults to Fargate.
> launch_type = FARGATE
> # Assign public ip can either be 'ENABLED' or 'DISABLED'.  Defaults to 
> 'ENABLED'.
> assign_public_ip = DISABLED
> ### OR POPULATE THIS:
> # This is a function which returns a function. The outer function takes no 
> arguments, and returns the inner function.
> # The inner function takes in an airflow CLI command an outputs a json 
> compatible with the boto3 run_task API
> # linked above. In other words, if you don't like the way I call the fargate 
> API then call it yourself
> execution_config_function = 
> airflow.executors.fargate_executor.default_task_id_to_fargate_options_function
> {code}
>  
>  
>  



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